Purpose: Prior image constrained compressed sensing (PICCS) is an image reconstruction
framework which incorporates an often available prior image into the compressed sensing …

Volumetric cone-beam CT (CBCT) images are acquired repeatedly during a course of
radiation therapy and a natural question to ask is whether CBCT images obtained earlier in …

C-arm cone-beam CT could replace preoperative multi-detector CT scans in the cardiac
interventional setting. However, cardiac gating results in view angle undersampling and the …

Purpose: Prior image constrained compressed sensing (PICCS) is an image reconstruction
framework that takes advantage of a prior image to improve the image quality of CT …

The objective of this paper is to evaluate an iterative maximum likelihood (ML) cone-beam
computed tomography (CBCT) reconstruction with total variation (TV) regularization with …

Magnetic resonance imaging (MRI) is one of the fields that the compressed sensing theory is
well utilized to reduce the scan time significantly leading to faster imaging or higher …

The appeal of compressed sensing (CS) in the context of medical imaging is undeniable. In
MRI, it could enable shorter acquisition times while in CT, it has the potential to reduce the …

In recent years, iterative image reconstruction algorithms have received much interest in x-
ray CT imaging. Images reconstructed by the conventional filtered backprojection algorithm …

The temporal resolution (TR) of an image has become an important property in computed
tomography (CT) when examining organs whose motion can not be stopped for the duration …

Based on the compressed sensing theorem, we present the integrated software and
hardware platform for developing a total-variation based image restoration algorithm by …